| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Level Set Grids for Hybrid Manufacturing |
| Author(s) |
Liam White, Bryan Quaife, Michael Borish, Cameron Adkins, Alex Roschli |
| On-Site Speaker (Planned) |
Liam White |
| Abstract Scope |
To ensure optimal part quality, accurate model representation is essential. Traditional additive manufacturing methods utilize STL meshes, which often lack precise curvature information. This information is critical for hybrid or post-manufacturing subtractive processes. When alternative mesh representations are unavailable, such as in object repair scenarios, curvature information must be derived from a triangulated mesh. To address this, an innovative approach employing sparse volumetric grids to voxelize a mesh’s volume was developed. Utilizing this representation, calculating the gradient of the level set function within the grid yields accurate curvature information where none previously existed. Leveraging this information, surface pathing can adhere to the object's curvature enabling accurate pathing for hybrid and subtractive processes. Furthermore, a partial object representation is possible that facilitates synchronous additive and subtractive processes. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |